%% Created using Papers on Sun, 20 Jan 2013.
%% http://mekentosj.com/papers/
@article {Haering:2008,
   author = {Haering, Niels and Venetianer, Péter and Lipton, Alan},
   affiliation = {ObjectVideo 11600 Sunrise Valley Drive Reston VA 20191 USA},
   title = {The evolution of video surveillance: an overview},
   journal = {Machine Vision and Applications},
   publisher = {Springer Berlin / Heidelberg},
   issn = {0932-8092},
   keyword = {Computer Science},
   pages = {279-290},
   volume = {19},
   issue = {5},
   url = {http://dx.doi.org/10.1007/s00138-008-0152-0},
   note = {10.1007/s00138-008-0152-0},
   year = {2008}
}
@INPROCEEDINGS{Li:2011, 
author={Cui Shiyao and Li Nianqiang and Liu Zhen}, 
booktitle={Image and Signal Processing (CISP), 2011 4th International Congress on}, title={Multi-directional crowded objects segmentation based on optical flow histogram}, 
year={2011}, 
month={oct.}, 
volume={1}, 
number={}, 
pages={552 -555}, 
keywords={Absorption;Feature extraction;Histograms;Image color analysis;Image segmentation;Object segmentation;Optical imaging;image colour analysis;image motion analysis;image segmentation;image sequences;pattern clustering;adaptive crowded object segment algorithm;background noise elimination;block absorption approach;clustering methods;flow color characteristic;global optical flow method;gray scale image;histogram derivative curve;multidirectional crowded object segmentation;optical flow histogram;velocity field calculation;}, 
doi={10.1109/CISP.2011.6099914}, 
ISSN={}}
@article{Geronimo:2007,
  title={Haar Wavelets and Edge Orientation Histograms for On--Board Pedestrian Detection},
  author={Ger{\'o}nimo, D. and L{\'o}pez, A. and Ponsa, D. and Sappa, A.},
  journal={Pattern Recognition and Image Analysis},
  pages={418--425},
  year={2007},
  publisher={Springer}
}
@INPROCEEDINGS{Geismann:2008, 
author={Geismann, P. and Schneider, G.}, 
booktitle={Intelligent Vehicles Symposium, IEEE}, title={A two-staged approach to vision-based pedestrian recognition using Haar and HOG features}, 
year={2008}, 
month={june}, 
volume={}, 
number={}, 
pages={554 -559}, 
keywords={Cameras;Costs;Image analysis;Sensor phenomena and characterization;Sensor systems;Support vector machine classification;Support vector machines;Testing;Vehicles;Video sequences;driver information systems;feature extraction;image sequences;HOG features;Haar features;fast search mechanism;feature extraction configurations;video sequences;vision-based pedestrian recognition;}, 
doi={10.1109/IVS.2008.4621148}, 
ISSN={1931-0587}
}
@INPROCEEDINGS{He:2011SP, 
author={Fei He and Yali Li and Shengjin Wang and Xiaoqing Ding}, 
booktitle={Image and Signal Processing (CISP), 2011 4th International Congress on}, title={A novel hierarchical framework for human head-shoulder detection}, 
year={2011}, 
pages={1485 -1489}, 
keywords={Biological system modeling;Detectors;Feature extraction;Humans;Image edge detection;Shape;Transforms;Hough transforms;feature extraction;gradient methods;object detection;Hough voting system;OIG;PASCAL;contour based decomposing method;family albums;hierarchical framework;human head-shoulder detection;object decomposition;omega-shape contour;oriented integration of gradients;part detectors;recursive decomposition;salient contours;sports videos;}, 
doi={10.1109/CISP.2011.6100413}
}
@ARTICLE{libsvm,
 author = {Chang, Chih-Chung and Lin, Chih-Jen},
 title = {{LIBSVM}: A library for support vector machines},
 journal = {ACM Transactions on Intelligent Systems and Technology},
 volume = {2},
 issue = {3},
 year = {2011},
 pages = {27:1--27:27},}
%note =	 {Software available at \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}}

@INPROCEEDINGS{Zeng:2010PR, 
author={Chengbin Zeng and Huadong Ma}, 
booktitle={Pattern Recognition (ICPR), International Conference on}, title={Robust Head-Shoulder Detection by PCA-Based Multilevel HOG-LBP Detector for People Counting}, 
year={2010}, 
month={}, 
volume={}, 
number={}, 
pages={2069 -2072}, 
keywords={Detectors;Feature extraction;Histograms;Pixel;Principal component analysis;Robustness;Target tracking;object detection;particle filtering (numerical methods);principal component analysis;surveillance;HOG-LBP detector;PCA;histograms of oriented gradients;local binary pattern;particle filter tracking;people counting;people-flow estimation;principal components analysis;robust head-shoulder detection;surveillance systems;PCA;head-shoulder detection;multilevel HOG-LBP detector;people counting;}, 
doi={10.1109/ICPR.2010.509}, 
ISSN={1051-4651},}
@article{bileschi:2008,
  title={A multi-scale generalization of the HoG and HMAX image descriptors for object detection},
  author={Bileschi, S.M.},
  journal={In CSAIL Technical Report
MIT- CSAIL-TR-2008-019},
  year={2008}
}
@inproceedings{grabner:2007,
  title={Is pedestrian detection really a hard task},
  author={Grabner, H. and Roth, P.M. and Bischof, H.},
  booktitle={Proc. IEEE Intern. Workshop on Performance Evaluation of Tracking and Surveillance},
  pages={1--8},
  year={2007}
}
@INPROCEEDINGS{Xu:2012, 
author={Tao Xu and Hong Liu and Yueliang Qian and Zhe Wang}, 
booktitle={Multimedia and Expo (ICME), 2012 IEEE International Conference on}, title={A Fast and Robust Pedestrian Detection Framework Based on Static and Dynamic Information}, 
year={2012}, 
month={july}, 
volume={}, 
number={}, 
pages={242 -247}, 
keywords={Detectors;Dynamics;Feature extraction;Positron emission tomography;Robustness;Tracking;Training;feature extraction;learning (artificial intelligence);motion estimation;object detection;object tracking;pedestrians;traffic engineering computing;1HOG feature extraction;AdaBoost;detection speed;detection-based tracking systems;detection-window-pyramid-based scanning strategy;dynamic information;false detection removal;machine learning;motion cue;motion distribution;motion information;pedestrian detection framework;people detection performance;public data sets;sliding-window strategy;static information;static pedestrian detectors;detection-based tracking;dynamic information;pedestrian detection;sliding-window strategy;}, 
doi={10.1109/ICME.2012.66}, 
ISSN={1945-7871},}

@inproceedings{Wojek:2009eg,
author = {Wojek, C and Walk, S and Schiele, B },
title = {{Multi-cue onboard pedestrian detection}},
booktitle = {Computer Vision and Pattern Recognition, 2009. IEEE Conference on},
year = {2009}
}

@article{Pang:2011gq,
author = {Pang, Yanwei and Yuan, Yuan and Li, Xuelong and Pan, Jing},
title = {{Efficient HOG human detection}},
journal = {Signal Processing},
year = {2011},
volume = {91},
number = {4},
pages = {773--781},
month = apr
}

@article{Anonymous:0Em61WyH,
title = {{PASSENGER COUNTING IN PUBLIC RAIL TRANSPORT}},
year = {2012},
pages = {1--5},
month = aug
}

@inproceedings{Zheng:wq,
author = {Zheng, Jin and Zhang, Wan and Bo Li },
title = {{Pedestrian detection based on background modeling and head-shoulder recognition}},
booktitle = {Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on}
}

@inproceedings{Corvee:2011tb,
author = {Corvee, E and Bremond, F},
title = {{Haar like and LBP based features for face, head and people detection in video sequences}},
booktitle={International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011)},
year = {2011}
}

@article{Han:2006vz,
author = {Han, F and Shan, Y and Cekander, R and Sawhney, H S and Kumar, R},
title = {{A two-stage approach to people and vehicle detection with hog-based svm}},
year = {2006},
pages = {133--140}
}


@article{Santoro:2010vo,
author = {Santoro, F and Pedro, S and Tan, Z H and Moeslund, T B},
title = {{Crowd Analysis by Using Optical Flow and Density Based Clustering}},
year = {2010}
}

@inproceedings{Chen:iz,
author = {Chen, Yan and Zhang, Ling and Lin, Biyi and Xu, Yong and Xiaobo Ren Innovations in Bio-inspired Computing and Applications IBICA, 2011 Second International Conference on},
title = {{Fighting Detection Based on Optical Flow Context Histogram}},
booktitle = {Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on}
}

@article{Dollar:2012je,
author = {Dollar, P and Wojek, C and Schiele, B and Perona},
title = {{Pedestrian Detection: An Evaluation of the State of the Art}},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
year = {2012},
volume = {34},
number = {4},
month = apr
}

@inproceedings{Wang:2012dj,
author = {Wang, Tian and Snoussi, Hichem},
title = {{Histograms of Optical Flow Orientation for Visual Abnormal Events Detection}},
booktitle = {2012 9th IEEE AVSS},
pages = {13--18},
publisher = {IEEE}
}
@article{Tuzel:2006,
  title={Region covariance: A fast descriptor for detection and classification},
  author={Tuzel, O. and Porikli, F. and Meer, P.},
  journal={Computer Vision--ECCV},
  pages={589--600},
  year={2006},
  publisher={Springer}
}
@article{Dollar:2010uv,
author = {Dollar, P and Belongie, S and Perona, P},
title = {{The fastest pedestrian detector in the west}},
journal = {BMVC 2010, Aberystwyth, UK},
year = {2010}
}

@article{Gualdi:di,
author = {Gualdi, G and Prati, A and Cucchiara, R},
title = {{Multistage Particle Windows for Fast and Accurate Object Detection}},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
volume = {34},
number = {8},
pages = {1589--1604}
}

@article{Xu:2011tb,
title = {{Pedestrian detection using background subtraction assisted Support Vector Machine}},
year = {2011},
pages = {837--842}
}

@article{Fujisawa:2012uc,
author = {Fujisawa, S and Hasegawa, G and Taniguchi, Y and Nakano, H},
title = {{Pedestrian counting in video sequences using optical flow clustering}},
year = {2012},
pages = {51--56}
}

@inproceedings{Wang:2012ut,
author = {Wang, Junqiu and Yagi, Yasushi},
title = {{Pedestrian detection based on appearance, motion, and shadow information}},
booktitle = {Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on},
year = {2012},
pages = {1--6}
}

@article{Cho:tj,
author = {Cho, Hyunggi and Rybski, P E and Bar-Hillel, A and Wende Zhang Intelligent Vehicles Symposium, IV, 2012 IEEE},
title = {{Real-time pedestrian detection with deformable part models}},
journal = {Intelligent Vehicles Symposium (IV), 2012 IEEE}
}

@inproceedings{Aziz:2011ui,
  title={Pedestrian head detection and tracking using skeleton graph for people counting in crowded environments},
  author={Aziz, K.E. and Merad, D. and Fertil, B. and THOME, N.},
  booktitle={2th IAPR Conference on Machine Vision Applications (MVA2011)},
  year={2011}

}

@inproceedings{Wu:th,
author = {Wu, Jinchen and Chen, Wei and Huang, Kaiqi and Tieniu Tan Image Processing ICIP, 2011 18th IEEE International Conference on},
title = {{Partial Least Squares based subwindow search for pedestrian detection}},
booktitle = {Image Processing (ICIP), 2011 18th IEEE International Conference on}
}

@article{Felzenszwalb:2010ve,
author = {Felzenszwalb, P F and Girshick, R B and McAllester, D and Ramanan, D},
title = {{Object detection with discriminatively trained part-based models}},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
year = {2010},
volume = {32},
number = {9},
pages = {1627--1645}
}

@inproceedings{Mogelmose:wh,
author = {Mogelmose, A and Prioletti, A and Trivedi, M M and Broggi, A and Moeslund, T B Intelligent Transportation Systems ITSC 2012 15th International IEEE Conference on},
title = {{Two-stage part-based pedestrian detection}},
booktitle = {Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on}
}

@article{Schiele:2009wf,
author = {Schiele, B and Andriluka, M and Majer, N and Roth, S and Wojek, C},
title = {{Visual people detection: Different models, comparison and discussion}},
year = {2009},
pages = {1--8}
}

@article{Shen:2012ij,
author = {Shen, Jifeng and Yang, Wankou and Sun, Changyin},
title = {{Real-time human detection based on gentle MILBoost with variable granularity HOG-CSLBP}},
journal = {Neural Comput {\&} Applic},
year = {2012},
month = sep
}

@inproceedings{Shen:2011we,
author = {Shen, Jifeng and Sun, Changyin and Yang, Wankou and Sun, Zhongxi},
title = {{Fast human detection based on enhanced variable size HOG features}},
booktitle = {ISNN'11: Proceedings of the 8th international conference on Advances in neural networks},
year = {2011},
publisher = { Springer-Verlag},
month = may,
annote = {Learner: Soft Cascade + Fisher Linear Discriminative Classifier.
Feature: Integral HOGs with angular weight interpolation and Gaussian Smoothing}
}

@inproceedings{Hong:2011km,
author = {Hong, Tian and Lixia, Wang and Ding Xiaoqing Soft Computing and Pattern Recognition SoCPaR, 2011 International Conference of},
title = {{Pedestrian detection based on merged cascade classifier}},
booktitle = {Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of},
year = {2011},
pages = {1--5},
month = nov
}

@article{Dalal:2006kz,
author = {Dalal, N and Triggs, B and Schmid, C},
title = {{Human detection using oriented histograms of flow and appearance}},
journal = {Computer Vision--ECCV 2006},
year = {2006},
pages = {428--441}
}

@article{GarciaMartin:2012gy,
author = {Garc{\'\i}a-Mart{\'\i}n, {\'A}lvaro and Mart{\'\i}nez, Jos{\'e} M},
title = {{On collaborative people detection and tracking in complex scenarios}},
journal = {IMAVIS},
year = {2012},
volume = {30},
number = {4-5},
pages = {345--354},
month = may
}

@inproceedings{Wang:2011CE,
author = {Wang, Jun-Qiang and Ma, Hua-Dong and An-Long Ming},
title = {{Fast head-shoulder detection on mobile phones}},
booktitle = {Consumer Electronics (ICCE), IEEE International Conference on},
year = {2011},
pages = {1--2},
month = feb
}

@article{Zhu:2006vi,
author = {Zhu, Q and Yeh, M C and Cheng, K T and Avidan, S},
title = {{Fast human detection using a cascade of histograms of oriented gradients}},
year = {2006},
volume = {2},
pages = {1491--1498}
}

@INPROCEEDINGS{Senst:2011tc,
author = {Senst, T and Evangelio, R H and Sikora, T},
title = {{Detecting people carrying objects based on an optical flow motion model}},
booktitle={Applications of Computer Vision (WACV), 2011 IEEE Workshop on},
year = {2011},
pages = {301--306}
}
@INPROCEEDINGS{Porikli:2005, 
author={Porikli, F.}, 
booktitle={Computer Vision and Pattern Recognition, CVPR. IEEE Computer Society Conference on}, title={Integral histogram: a fast way to extract histograms in Cartesian spaces}, 
year={2005}, 
month={june}, 
volume={1}, 
number={}, 
pages={ 829 - 836 vol. 1}, 
keywords={ image processing; search problems; statistical analysis; Cartesian data spaces; data dimensions; exhaustive search process; histogram extraction; image retrieval; integral histogram; nonuniform bin formation; real-time search process; spatial arrangement; uniform bin formation;}, 
doi={10.1109/CVPR.2005.188}, 
ISSN={1063-6919},}
@inproceedings{wang:2009,
  title={An HOG-LBP human detector with partial occlusion handling},
  author={Wang, X. and Han, T.X. and Yan, S.},
  booktitle={Computer Vision, 2009 IEEE 12th International Conference on},
  pages={32--39},
  year={2009},
  organization={IEEE}
}
@article{Pang:2011,
title = "Efficient HOG human detection",
journal = "Signal Processing",
volume = "91",
number = "4",
pages = "773 - 781",
year = "2011",
note = "",
issn = "0165-1684",
doi = "10.1016/j.sigpro.2010.08.010",
url = "http://www.sciencedirect.com/science/article/pii/S0165168410003476",
author = "Yanwei Pang and Yuan Yuan and Xuelong Li and Jing Pan",
keywords = "Image and video processing",
keywords = "Human detection",
keywords = "HOG",
keywords = "Fast algorithm"
}

@inproceedings{Farneback:2003,
 author = {Farneb\"{a}ck, Gunnar},
 title = {Two-frame motion estimation based on polynomial expansion},
 booktitle = {Proceedings of the 13th Scandinavian conference on Image analysis},
 series = {SCIA'03},
 year = {2003},
 isbn = {3-540-40601-8},
 location = {Halmstad, Sweden},
 pages = {363--370},
 numpages = {8},
 url = {http://dl.acm.org/citation.cfm?id=1763974.1764031},
 acmid = {1764031},
 publisher = {Springer-Verlag},
 address = {Berlin, Heidelberg},
} 

@INPROCEEDINGS{Laptev:2008PR, 
author={Laptev, I. and Marszalek, M. and Schmid, C. and Rozenfeld, B.}, 
booktitle={Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on}, title={Learning realistic human actions from movies}, 
year={2008}, 
month={june}, 
volume={}, 
number={}, 
pages={1 -8}, 
keywords={Cameras;Clothing;Humans;Image recognition;Layout;Motion pictures;Object recognition;Robustness;Text categorization;Video sharing;cinematography;image classification;image retrieval;learning (artificial intelligence);support vector machines;video signal processing;automatic video annotation;human action retrieval;local space-time feature;movie script;multichannel nonlinear SVM;space-time pyramid;text-based classifier;video action classification;video realistic human action recognition;visual learning;}, 
doi={10.1109/CVPR.2008.4587756}, 
ISSN={1063-6919},}
@inproceedings{Li:2009cb,
author = {Li, Min and Zhang, Zhaoxiang and Huang, Kaiqi and Tieniu Tan},
title = {{Rapid and robust human detection and tracking based on omega-shape features}},
booktitle = {Image Processing (ICIP), 2009 16th IEEE International Conference on},
year = {2009},
pages = {1--4},
month = aug
}

@article{Lin:2010eu,
author = {Lin, Zhe and Davis, Larry S},
title = {{Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching}},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
year = {2010},
volume = {32},
number = {4},
month = apr
}
@inproceedings{lee:2012,
  title={Moving object segmentation using motion orientation histogram in adaptively partitioned blocks for consumer surveillance system},
  author={Lee, S. and Lee, J. and Chon, E. and Hayes, M.H. and Paik, J.},
  booktitle={Consumer Electronics (ICCE), 2012 IEEE International Conference on},
  pages={197--198},
  year={2012},
  organization={IEEE}
}
@INPROCEEDINGS{Sabzmeydani:2007, 
author={Sabzmeydani, P. and Mori, G.}, 
booktitle={Computer Vision and Pattern Recognition, CVPR . IEEE Conference on}, title={Detecting Pedestrians by Learning Shapelet Features}, 
year={2007}, 
month={june}, 
volume={}, 
number={}, 
pages={1 -8}, 
keywords={Arm;Computer vision;Detectors;Head;Humans;Image edge detection;Image segmentation;Object detection;Shape;Support vector machines;image classification;AdaBoost;classifier;learned shapelets;low-level gradient information;pedestrian detection;shapelet features;}, 
doi={10.1109/CVPR.2007.383134}, 
ISSN={1063-6919},}
@INPROCEEDINGS{Wu:2008CVPR, 
author={Bo Wu and Nevatia, R.}, 
booktitle={Computer Vision and Pattern Recognition, CVPR. IEEE Conference on}, title={Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection}, 
year={2008}, 
month={june}, 
volume={}, 
number={}, 
pages={1 -8}, 
keywords={Boosting;Computer vision;Detectors;Face detection;Histograms;Intelligent robots;Kernel;Object detection;Support vector machine classification;Support vector machines;feature extraction;image classification;object detection;cascade structured detectors;discrimination-efficiency tradeoff;feature based weak classifiers;feature extraction;object detection;}, 
doi={10.1109/CVPR.2008.4587749}, 
ISSN={1063-6919},}
@article{Wu:2008gf,
author = {Wu, Bo and Nevatia, Ram},
title = {{Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses}},
journal = {Int J Comput Vis},
year = {2008},
volume = {82},
number = {2},
pages = {185--204},
month = dec
}

@article{Porikli:2005vq,
author = {Porikli, F},
title = {{Integral histogram: A fast way to extract histograms in cartesian spaces}},
year = {2005},
volume = {1},
pages = {829--836}
}

@inproceedings{Wu:it,
author = {Wu, Bo and Nevatia, R Computer Vision and Pattern Recognition 2006 IEEE Computer Society Conference on},
title = {{Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection}},
booktitle = {Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on}
}

@inproceedings{Wu:tha,
author = {Wu, Jinchen and Chen, Wei and Huang, Kaiqi and Tieniu Tan Image Processing ICIP, 2011 18th IEEE International Conference on},
title = {{Partial Least Squares based subwindow search for pedestrian detection}},
booktitle = {Image Processing (ICIP), 2011 18th IEEE International Conference on}
}

